A high‐throughput method for screening surfactant additives and structure–property relationships for the removal of water from bitumen

Abstract This paper describes the development of a new high‐throughput (HT) method for screening surfactant additives for the removal of water from bitumen extracted from oil sands. The method begins by isolating bitumen froth from Canadian oil sands via the hot water extraction and flotation process. The froth is then diluted with naphtha to form “dilbit” The dilbit is homogenized and subsequently mixed twice to ensure a uniform distribution of water and sediment. Then, aliquots of the dilbit are dispensed into separate vials, and surfactant additives are mixed in at the desired concentrations. Next, the samples are transferred to centrifugation cells and centrifuged. Finally, the top third of the sample volume is removed, and Karl Fischer titration is used to measure the residual water. The HT method was used to screen the dewatering performances of 67 surfactants. Of the surfactants screened, (ethylene oxide)‐(propylene oxide)‐(ethylene oxide) (EO x ‐PO y ‐EOx) triblock copolymer surfactants with molecular weight (MW) values >2000 Da and hydrophilic–lipophilic balance (HLB) values <16 were found to be the most effective demulsifying additives. The research approach presented here may enable the rapid development of structure–property relationships to guide the selection of surfactant additives for the improvement of commercial bitumen froth extraction and upgrading processes.

Authors

Institutions

Publication Details

Journal
Journal of Surfactants and Detergents
Published
2025-03-16
DOI
https://doi.org/10.1002/jsde.12850
Citations
1
Primary Topic
Petroleum Processing and Analysis
Type
article
Field-Weighted Citation Impact
0.75
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A high‐throughput method for screening surfactant additives and structure–property relationships for the removal of water from bitumen

Andrew Banks, D.G. Hayes, Roxanne Jenkins, Rohini Gupta et al.
1 citations
Journal of Surfactants and Detergents
Petroleum Processing and Analysis
0.75
article

A high‐throughput method for screening surfactant additives and structure–property relationships for the removal of water from bitumen

Andrew Banks, D.G. Hayes, Roxanne Jenkins, Rohini Gupta, Harpreet Singh, Kathryn A. Grzesiak, Jonathan D. Mendenhall, Tzu‐Chi Kuo, David J. Brennan, Adam Schmitt, Daniel S. Miller, Heather Wiles, Jonathan Moore, Taylor Martin, Tom Kalantar
article en
1 citations

Abstract

Abstract This paper describes the development of a new high‐throughput (HT) method for screening surfactant additives for the removal of water from bitumen extracted from oil sands. The method begins by isolating bitumen froth from Canadian oil sands via the hot water extraction and flotation process. The froth is then diluted with naphtha to form “dilbit” The dilbit is homogenized and subsequently mixed twice to ensure a uniform distribution of water and sediment. Then, aliquots of the dilbit are dispensed into separate vials, and surfactant additives are mixed in at the desired concentrations. Next, the samples are transferred to centrifugation cells and centrifuged. Finally, the top third of the sample volume is removed, and Karl Fischer titration is used to measure the residual water. The HT method was used to screen the dewatering performances of 67 surfactants. Of the surfactants screened, (ethylene oxide)‐(propylene oxide)‐(ethylene oxide) (EO x ‐PO y ‐EOx) triblock copolymer surfactants with molecular weight (MW) values >2000 Da and hydrophilic–lipophilic balance (HLB) values <16 were found to be the most effective demulsifying additives. The research approach presented here may enable the rapid development of structure–property relationships to guide the selection of surfactant additives for the improvement of commercial bitumen froth extraction and upgrading processes.

Journal of Surfactants and DetergentsVol. 28(4)
Dow Chemical (United States) (US)
Openalex Percentile: Top 35%
Petroleum Processing and Analysis
0.75
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.